Defense & Aerospace — Multi-Source Data Ingestion Pipeline for Fraud Detection
FreeThis DAG integrates data from multiple sources to enable comprehensive fraud and anomaly analysis. It ensures data quality and normalization for accurate insights in the Defense and Aerospace sector.
Overview
The primary purpose of this DAG is to facilitate the ingestion of diverse data sources, including ERP, CRM, and IoT systems, to support fraud and anomaly analytics within the Defense and Aerospace industry. The data ingestion pipeline begins with the extraction of data from various sources such as ERP transaction logs, CRM customer interactions, and IoT sensor data via APIs. Following extraction, the data undergoes a rigorous transformation process, which includes normalization, deduplication, a
The primary purpose of this DAG is to facilitate the ingestion of diverse data sources, including ERP, CRM, and IoT systems, to support fraud and anomaly analytics within the Defense and Aerospace industry. The data ingestion pipeline begins with the extraction of data from various sources such as ERP transaction logs, CRM customer interactions, and IoT sensor data via APIs. Following extraction, the data undergoes a rigorous transformation process, which includes normalization, deduplication, and validation to ensure high data quality and integrity. Quality control measures are implemented at each stage to detect and rectify anomalies, thereby maintaining the reliability of the data. Once the data is transformed, it is loaded into a centralized data warehouse, where it becomes accessible for advanced analytics and reporting. The outputs of this DAG include interactive dashboards that visualize key performance indicators (KPIs) relevant to fraud detection, enabling stakeholders to monitor trends and anomalies in real-time. Monitoring KPIs such as data accuracy, processing time, and anomaly detection rates are essential for assessing the effectiveness of the pipeline. The business value derived from this DAG includes enhanced decision-making capabilities, reduced fraud risk, and improved operational efficiency, ultimately leading to a more secure and resilient operational environment in the Defense and Aerospace sector.
Part of the Fraud & Anomaly Analytics solution for the Defense & Aerospace industry.
Use cases
- Enhances fraud detection capabilities in critical operations
- Improves data-driven decision-making for stakeholders
- Reduces operational risks through timely anomaly identification
- Streamlines data management processes across multiple sources
- Increases transparency and accountability in data handling
Technical Specifications
Inputs
- • ERP transaction logs
- • CRM customer interaction data
- • IoT sensor data from operational systems
Outputs
- • Centralized data warehouse for analytics
- • Interactive dashboards for KPI monitoring
- • Anomaly detection reports for stakeholders
Processing Steps
- 1. Extract data from ERP, CRM, and IoT sources
- 2. Transform data through normalization and validation
- 3. Load processed data into the data warehouse
- 4. Implement quality control checks on the data
- 5. Generate dashboards for KPI visualization
- 6. Monitor data integrity and processing performance
Additional Information
DAG ID
WK-0672
Last Updated
2025-09-14
Downloads
47